Efficient and intelligent music information retrieval (MIR) is a need of the 21st century. MIR addresses the problem of querying and retrieving certain types of music from large music data set. A singing voice is one of the key elements of music. As most part of music is characterized by the performing singer, analysis of singing voice reveals many characteristics of a song. The unique qualities of a singer’s voice make it relatively easy for carrying out numerous tasks in MIR. The singing voice is completely characterized by its acoustic features. Acoustic features like timbre, vibrato, pitch and harmony describe the singing voice in the music and these are discussed in the paper. There are many applications of MIR which considers overall features of music, but the paper presents a review of those applications of MIR concerned directly to singing voice in the music. Also the paper lists the feature extraction methods and identifies the suitable feature appropriate for individual task of MIR.